Machine Learning Engineer - Remote Work

BairesDev; México; Remote; MXN 600,000 - 1,000,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

Competitive compensation in USD or MXN

Home office setup provided

Flexible hours

Paid parental leave and holidays

Mentorship and growth opportunities

Multicultural global team

Job summary

BairesDev is seeking a Machine Learning Engineer to build and deploy production ML models. You will integrate data science and engineering practices to ensure scalable training, serving, and monitoring of ML systems.

The role offers 100% remote work with competitive compensation in USD or local currency, plus hardware support, flexible hours, and a supportive, multicultural environment.

Qualifications

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in building and deploying ML models into production.
• Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with MLOps practices and model serving infrastructures.
• Strong background in training, serving, and monitoring large-scale ML systems.
• Advanced proficiency in English.

Responsibilities

• Design and develop production-ready machine learning pipelines using Python and frameworks like TensorFlow or PyTorch.
• Deploy and manage scalable model serving infrastructure to support real-time and batch predictions.
• Implement and optimize MLOps practices to automate model testing, deployment, and versioning.
• Monitor production models for performance degradation and data drift to ensure long-term reliability.
• Work closely with data scientists to translate experimental models into robust, maintainable production code.

Skills

Python

TensorFlow

PyTorch

MLOps

Model serving

English proficiency

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Machine Learning Engineer at BairesDev

As a Machine Learning Engineer, you will build and deploy machine learning models into production. You will integrate data science and engineering principles to ensure the efficient training, serving, and monitoring of ML systems at scale.

What You'll Do:

• Design and develop production-ready machine learning pipelines using Python and frameworks like TensorFlow or PyTorch.
• Deploy and manage scalable model serving infrastructure to support real-time and batch predictions.
• Implement and optimize MLOps practices to automate model testing, deployment, and versioning.
• Monitor production models for performance degradation and data drift to ensure long-term reliability.
• Work closely with data scientists to translate experimental models into robust, maintainable production code.

What we are looking for:

• 4+ years of experience in Machine Learning Engineering or Software Engineering.
• Proven expertise in building and deploying machine learning models into production.
• Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with MLOps practices and model serving infrastructures.
• Strong background in training, serving, and monitoring large-scale ML systems.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.